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ICPR
2010
IEEE
15 years 10 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin
AIED
2009
Springer
15 years 10 months ago
Modeling Helping Behavior in an Intelligent Tutor for Peer Tutoring
Giving effective help is an important collaborative skill that leads to improved learning for both the help-giver and help-receiver. Adding intelligent tutoring to student interact...
Erin Walker, Nikol Rummel, Kenneth R. Koedinger
189
Voted
ICONIP
2007
15 years 8 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
NIPS
2008
15 years 8 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
NIPS
2004
15 years 8 months ago
Online Bounds for Bayesian Algorithms
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
Sham M. Kakade, Andrew Y. Ng